Unlike basic Q-learning algorithms, which generally focus on finding the optimal path to maximize rewards, the modified bandit Q-learning algorithm aims to learn the optimal Q value for every ...

Since the news of Q* broke, many researchers outside OpenAI have speculated about whether the name is a reference to other existing techniques within the field, such as Q-learning, a technique for ...

The Data Science Doctor explains how to use the reinforcement learning branch of machine learning with the Q-learning approach, providing code on how to solve a maze problem for an easy-to-understand ...

A special category of algorithms, machine learning algorithms, try to “learn” based on a set of past decision-making examples.

In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing ...

The Facebook algorithm, called Seer (for SElf-supERvised), fed on more than a billion images scraped from Instagram, deciding for itself which objects look alike.

Interaction Bias A unfortunately common example of Interaction Bias is facial recognition algorithms trained on datasets containing more Caucasian faces than African American faces.

Researchers have developed an AI algorithm which can solve a Rubik's Cube in a fraction of a second, according to a study published in the journal Nature Machine Intelligence.